class_docstr: Synthesize audio by filtering white noise.
code: def __init__(
      self,
      n_samples=64000,
      window_size=257,
      scale_fn=core.exp_sigmoid,
      initial_bias=-5.0,
      name="filtered_noise",
  ):
      super().__init__(name=name)
      self.n_samples = n_samples
      self.window_size = window_size
      self.scale_fn = scale_fn
      self.initial_bias = initial_bias
  
imports: from ddsp import core
  from ddsp import processors
  import gin
  import tensorflow.compat.v2
label_desc: Use image node_id 1 to create a new FilteredNoise object from inherited base classes: processors with example: obj = FilteredNoise(n_samples, window_size, scale_fn, initial_bias, name)